Instructions to use biohub/esm3-sm-open-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biohub/esm3-sm-open-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("biohub/esm3-sm-open-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Quantization?
#7
by andrewdalpino - opened
Hello ESM community,
First off, thank you for your contributions to the field of Genetics and Biology more broadly. I'm currently using ESM3 as well as a fine-tuned ESMC model as components of a "drug design" agent. I was able to do quantization-aware fine-tuning for ESMC but I'm wondering if anyone can speak to the ESM3 family of models in terms of ...
- Have there been any validations done on various post-training quantization strategies? ex. int4w vs int8w.
- Was ESM3 training using QAT?
Any additional comments regarding ESM3 in the context of quantization would be helpful as well.
Thank you!
Andrew